AGV Trajectory Tracking Error Analysis from MPC Optimization Study

A small dataset of 5.5 KB, likely containing analysis results for Automated Guided Vehicle (AGV) trajectory tracking. The data was created by author Tan Zhang and published on figshare under a CC-BY-4.0 license, with a last update timestamp of 2026-05-21. It supports a study proposing an online adaptive optimization strategy for Model Predictive Control (MPC) parameters.

Use Cases

• Benchmarking trajectory tracking controllers based on lateral and heading error metrics mentioned in the description
• Training or validating adaptive MPC parameter tuning algorithms based on the described composite fitness function
• Analyzing the performance of the Improved Sparrow Search Algorithm (ISSA) for optimization tasks in robotics
• Comparing the dynamic response and adaptability of AGV control systems under different simulated working conditions

Strengths

• Data is openly licensed under CC-BY-4.0, permitting reuse and modification.
• The associated research methodology is described in detail, including validation through co-simulation and physical AGV experiments.

Limitations

• The dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for machine learning.

Provenance

Source

figshare

Collection Method

Likely generated from co-simulation (Gazebo/Rviz under ROS) and experiments on a forklift-type AGV, as described in the associated paper.

Freshness

Last updated 2026-05-21 17:26:08; freshness should be verified.